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arXiv:2604.19053v1 Announce Type: new Abstract: We propose CHRONOS, a hardware-assisted framework that decouples the cryptographic setup required for private gradient aggregation from the active train…
arXiv:2604.19049v1 Announce Type: new Abstract: LLM-assisted defect discovery has a precision crisis: plausible-but-wrong reports overwhelm maintainers and degrade credibility for real findings. We pr…
arXiv:2604.19031v1 Announce Type: new Abstract: Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundati…
arXiv:2604.19012v1 Announce Type: new Abstract: Deep learning for vulnerability detection has shown promising results on early benchmarks, but recent evaluations reveal catastrophic degradation: model…
arXiv:2604.18860v1 Announce Type: new Abstract: GUI agents that control desktop computers via screenshot-and-click loops introduce a new class of vulnerability: the observation-to-action gap (mean 6.5…
arXiv:2604.18819v1 Announce Type: new Abstract: The integration of Fog Computing with Flying Ad-Hoc Networks (FANETs) offers promising capabilities for decentralized, low-latency intelligence in UAV-b…
arXiv:2604.18718v1 Announce Type: new Abstract: Agentic security systems increasingly audit live targets with tool-using LLMs, but prior systems fix a single coordination topology, leaving unclear whe…
arXiv:2604.18717v1 Announce Type: new Abstract: Formal verification of masking in post-quantum cryptographic (PQC) hardware relies on SMT solvers over finite domains. Our prior work established struct…
arXiv:2604.18716v1 Announce Type: new Abstract: Today, machine learning is widely applied in sensitive, security-related, and financially lucrative applications. Model extraction attacks undermine cur…
arXiv:2604.18697v1 Announce Type: new Abstract: Indistinguishability properties such as differential privacy bounds or low empirically measured membership inference are widely treated as proxies to sh…
arXiv:2604.18663v1 Announce Type: new Abstract: Existing jamming attacks on Retrieval-Augmented Generation (RAG) systems typically induce explicit refusals or denial-of-service behaviors, which are co…
arXiv:2604.18660v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used in education, yet their default helpfulness often conflicts with pedagogical principles. Prior work e…
arXiv:2604.18658v1 Announce Type: new Abstract: Existing AI agent safety benchmarks focus on generic criminal harm (cybercrime, harassment, weapon synthesis), leaving a systematic blind spot for a dis…
arXiv:2604.18652v1 Announce Type: new Abstract: The transition of agentic AI from brittle prototypes to production systems is stalled by a pervasive crisis of craft. We suggest that the prevailing orc…
arXiv:2604.18649v1 Announce Type: new Abstract: As generative AI faces intensifying legal challenges, the machine learning community has increasingly relied on post-hoc mitigation -- especially machin…
arXiv:2604.18633v1 Announce Type: new Abstract: Web tracking by ad networks, social networks, and other third parties is privacy-invasive. To protect users' privacy an increasing number of countries a…
&#;x26;#;x5b;This is a Guest Diary by L. Carty, an ISC intern as part of the SANS.edu Bachelor&#;x26;#;39;s Degree in Applied Cybersecurity (BACS) program &#;x26;#;x5b;1].]
A group of unauthorized users has reportedly breached access controls surrounding Claude Mythos Preview, Anthropic’s powerful and closely guarded AI-driven cybersecurity tool, raising serious concerns…
Softwareentwicklung und Autoproduktion haben mehr gemein, als man denkt. Lesen Sie, was Sie zum Thema Software Bill of Materials (SBOM) wissen sollten. Foto: Ju1978 – shutterstock.com Eine Software Bi…
Vance, Bessent questioned tech giants on AI security before Anthropic's Mythos release CNBC
Anubis Ransomware Targets Samuel I. White, PC in Major Cyberattack DeXpose
Game on! More than a third of FIFA World Cup 2026 partners expose Aussies to email fraud risk Cyber Daily
Vercel Breach Tied to Context AI Hack Exposes Limited Customer Credentials The Hacker News